Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation
In the field of cancer informatics, there are computational methods or approach exists to share the same goal, which is to unravel the interactions between genes through the effort of gene regulatory network (GRN) inference and construction. Even now, such a complex task has always been challenging...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32040/ http://umpir.ump.edu.my/id/eprint/32040/1/Gene%20regulatory%20network%20construction%20of%20ovarian%20cancer%20based%20.pdf http://umpir.ump.edu.my/id/eprint/32040/7/Gene%20regulatory%20network%20construction%20of%20ovarian%20cancer%20based_FULL.pdf |
| _version_ | 1848823922522324992 |
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| author | Yeo, Zhu Ern Isaac Moorthy, Kohbalan Machap, Logenthiran Mohd Saberi, Mohamad Jamaludin, Sallim |
| author_facet | Yeo, Zhu Ern Isaac Moorthy, Kohbalan Machap, Logenthiran Mohd Saberi, Mohamad Jamaludin, Sallim |
| author_sort | Yeo, Zhu Ern Isaac |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In the field of cancer informatics, there are computational methods or approach exists to share the same goal, which is to unravel the interactions between genes through the effort of gene regulatory network (GRN) inference and construction. Even now, such a complex task has always been challenging and at the same time, this challenge becomes a motivation for new methods to be invented. Hence, the development of PYPANDA, which is a new method for applying the assimilation of several different datasets input for the construction of the gene regulatory network. Moreover, this integration model is capable of redeeming information that was lost when using other methods that only utilize a single dataset, thus having an innate capacity of predicting a more accurate interaction between genes. The proposed improvement of PYPANDA in this article has been able to filter and determine the most informative or significant genes for the construction of the GRN. With this, the differences between the prior network and the improved PYPANDA network can be specified. As such, two new relationships between the highly informative genes that have not been identified before were successfully identified. |
| first_indexed | 2025-11-15T03:04:50Z |
| format | Conference or Workshop Item |
| id | ump-32040 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:04:50Z |
| publishDate | 2020 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-320402022-02-07T07:59:17Z http://umpir.ump.edu.my/id/eprint/32040/ Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation Yeo, Zhu Ern Isaac Moorthy, Kohbalan Machap, Logenthiran Mohd Saberi, Mohamad Jamaludin, Sallim QA76 Computer software In the field of cancer informatics, there are computational methods or approach exists to share the same goal, which is to unravel the interactions between genes through the effort of gene regulatory network (GRN) inference and construction. Even now, such a complex task has always been challenging and at the same time, this challenge becomes a motivation for new methods to be invented. Hence, the development of PYPANDA, which is a new method for applying the assimilation of several different datasets input for the construction of the gene regulatory network. Moreover, this integration model is capable of redeeming information that was lost when using other methods that only utilize a single dataset, thus having an innate capacity of predicting a more accurate interaction between genes. The proposed improvement of PYPANDA in this article has been able to filter and determine the most informative or significant genes for the construction of the GRN. With this, the differences between the prior network and the improved PYPANDA network can be specified. As such, two new relationships between the highly informative genes that have not been identified before were successfully identified. IEEE 2020-08-24 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32040/1/Gene%20regulatory%20network%20construction%20of%20ovarian%20cancer%20based%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/32040/7/Gene%20regulatory%20network%20construction%20of%20ovarian%20cancer%20based_FULL.pdf Yeo, Zhu Ern Isaac and Moorthy, Kohbalan and Machap, Logenthiran and Mohd Saberi, Mohamad and Jamaludin, Sallim (2020) Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation. In: 2020 8th International Conference on Information Technology and Multimedia, ICIMU 2020 , 24 - 25 August 2020 , Selangor. 251 -255. (9243432). ISBN 9781728173108 (Published) https://doi.org/10.1109/ICIMU49871.2020.9243432 |
| spellingShingle | QA76 Computer software Yeo, Zhu Ern Isaac Moorthy, Kohbalan Machap, Logenthiran Mohd Saberi, Mohamad Jamaludin, Sallim Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| title | Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| title_full | Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| title_fullStr | Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| title_full_unstemmed | Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| title_short | Gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| title_sort | gene regulatory network construction of ovarian cancer based on passing attributes between network for data assimilation |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/32040/ http://umpir.ump.edu.my/id/eprint/32040/ http://umpir.ump.edu.my/id/eprint/32040/1/Gene%20regulatory%20network%20construction%20of%20ovarian%20cancer%20based%20.pdf http://umpir.ump.edu.my/id/eprint/32040/7/Gene%20regulatory%20network%20construction%20of%20ovarian%20cancer%20based_FULL.pdf |